In [1]:
!pip install yfinance==0.1.67
!mamba install bs4==4.10.0 -y
!pip install nbformat==4.2.0

Collecting yfinance==0.1.67
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Downloading yfinance-0.1.67-py2.py3-none-any.whl (25 kB)
Installing collected packages: yfinance
  Attempting uninstall: yfinance
    Found existing installation: yfinance 0.2.43
    Uninstalling yfinance-0.2.43:
      Successfully uninstalled yfinance-0.2.43
Successfully installed yfinance-0.1.67
zsh:1: command not found: mamba
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Downloading nbformat-4.2.0-py2.py3-none-any.whl (153 kB)
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Installing collected packages: nbformat
  Attempting uninstall: nbformat
    Found existing installation: nbformat 5.9.2
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      Successfully uninstalled nbformat-5.9.2
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
anaconda-client 1.12.3 requires nbformat>=4.4.0, but you have nbformat 4.2.0 which is incompatible.
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nbclient 0.8.0 requires nbformat>=5.1, but you have nbformat 4.2.0 which is incompatible.
nbconvert 7.10.0 requires nbformat>=5.7, but you have nbformat 4.2.0 which is incompatible.
Successfully installed nbformat-4.2.0
In [4]:
import yfinance as yf
import pandas as pd
import requests
from bs4 import BeautifulSoup
import plotly.graph_objects as go
from plotly.subplots import make_subplots
In [5]:
tesla = yf.Ticker("TSLA")
In [6]:
tesla_data = tesla.history(period="max")
In [7]:
tesla_data.reset_index(inplace=True)
tesla_data.head()
Out[7]:
Date Open High Low Close Volume Dividends Stock Splits
0 2010-06-29 00:00:00-04:00 1.266667 1.666667 1.169333 1.592667 281494500 0.0 0.0
1 2010-06-30 00:00:00-04:00 1.719333 2.028000 1.553333 1.588667 257806500 0.0 0.0
2 2010-07-01 00:00:00-04:00 1.666667 1.728000 1.351333 1.464000 123282000 0.0 0.0
3 2010-07-02 00:00:00-04:00 1.533333 1.540000 1.247333 1.280000 77097000 0.0 0.0
4 2010-07-06 00:00:00-04:00 1.333333 1.333333 1.055333 1.074000 103003500 0.0 0.0
In [10]:
url = "https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/revenue.htm"
html_data  = requests.get(url).text
soup = BeautifulSoup(html_data, 'html5lib')
In [13]:
tesla_revenue = pd.DataFrame(columns=["Date", "Revenue"])
for row in soup.find("tbody").find_all('tr'):
    col = row.find_all("td")
    date = col[0].text
    revenue = col[1].text
    # Finally we append the data of each row to the table
    tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)    

/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/55052665.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  tesla_revenue = tesla_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
In [14]:
tesla_revenue["Revenue"] = tesla_revenue['Revenue'].str.replace(',|\$',"")

/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/349343550.py:1: FutureWarning: The default value of regex will change from True to False in a future version.
  tesla_revenue["Revenue"] = tesla_revenue['Revenue'].str.replace(',|\$',"")
In [15]:
tesla_revenue.dropna(inplace=True)

tesla_revenue = tesla_revenue[tesla_revenue['Revenue'] != ""]
In [16]:
tesla_revenue.tail()
Out[16]:
Date Revenue
8 2013 2013
9 2012 413
10 2011 204
11 2010 117
12 2009 112
In [17]:
game_stop = yf.Ticker("GME")
In [18]:
gme_data = game_stop.history(period="max")
In [19]:
gme_data.reset_index(inplace=True)
gme_data.head()
Out[19]:
Date Open High Low Close Volume Dividends Stock Splits
0 2002-02-13 00:00:00-05:00 1.620128 1.693350 1.603296 1.691666 76216000 0.0 0.0
1 2002-02-14 00:00:00-05:00 1.712707 1.716074 1.670626 1.683250 11021600 0.0 0.0
2 2002-02-15 00:00:00-05:00 1.683250 1.687458 1.658001 1.674834 8389600 0.0 0.0
3 2002-02-19 00:00:00-05:00 1.666418 1.666418 1.578047 1.607504 7410400 0.0 0.0
4 2002-02-20 00:00:00-05:00 1.615920 1.662210 1.603296 1.662210 6892800 0.0 0.0
In [20]:
url = "https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/stock.html"
html_data_2 = requests.get(url).text
In [21]:
soup = BeautifulSoup(html_data_2, 'html5lib')
In [22]:
gme_revenue = pd.DataFrame(columns=["Date", "Revenue"])
for row in soup.find("tbody").find_all('tr'):
    col = row.find_all("td")
    date = col[0].text
    revenue = col[1].text
    # Finally we append the data of each row to the table
    gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)    
gme_revenue["Revenue"] = gme_revenue['Revenue'].str.replace(',|\$',"")
gme_revenue.dropna(inplace=True)
gme_revenue = gme_revenue[gme_revenue['Revenue'] != ""]

/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  gme_revenue = gme_revenue.append({"Date":date, "Revenue":revenue}, ignore_index=True)
/var/folders/yw/zkbkg7ss4wn9s28n91vf7gz40000gn/T/ipykernel_3008/4016603863.py:8: FutureWarning: The default value of regex will change from True to False in a future version.
  gme_revenue["Revenue"] = gme_revenue['Revenue'].str.replace(',|\$',"")
In [23]:
gme_revenue.tail()
Out[23]:
Date Revenue
11 2009 8806
12 2008 7094
13 2007 5319
14 2006 3092
15 2005 1843
In [25]:
def make_graph(stock_data, revenue_data, stock):
    fig = make_subplots(rows=2, cols=1, shared_xaxes=True, subplot_titles=("Historical Share Price", "Historical Revenue"), vertical_spacing = .3)
    stock_data_specific = stock_data[stock_data.Date <= '2021--06-14']
    revenue_data_specific = revenue_data[revenue_data.Date <= '2021-04-30']
    fig.add_trace(go.Scatter(x=pd.to_datetime(stock_data_specific.Date, infer_datetime_format=True), y=stock_data_specific.Close.astype("float"), name="Share Price"), row=1, col=1)
    fig.add_trace(go.Scatter(x=pd.to_datetime(revenue_data_specific.Date, infer_datetime_format=True), y=revenue_data_specific.Revenue.astype("float"), name="Revenue"), row=2, col=1)
    fig.update_xaxes(title_text="Date", row=1, col=1)
    fig.update_xaxes(title_text="Date", row=2, col=1)
    fig.update_yaxes(title_text="Price ($US)", row=1, col=1)
    fig.update_yaxes(title_text="Revenue ($US Millions)", row=2, col=1)
    fig.update_layout(showlegend=False,
    height=900,
    title=stock,
    xaxis_rangeslider_visible=True)
    fig.show()
In [26]:
make_graph(tesla_data, tesla_revenue, "Tesla")
In [27]:
make_graph(gme_data, gme_revenue, "GameStop")
In [ ]: